ArticleLangenbeck's archives of surgery2018
Predicting morbidity of liver resection.
Article in Langenbeck's archives of surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Metabolic changes after hepatectomy: Implications for perioperative management and long-term outcomes.World journal of gastrointestinal pathophysiology · 2025Article
- Liver resection, and technical advances to mitigate post-hepatectomy liver failure.Hepatobiliary surgery and nutrition · 2024Article
- The Impact of the COVID-19 Pandemic on Hepatobiliary and Pancreatic Surgical Services in Singapore: Retrospective Quantitative Study.JMIR perioperative medicine · 2022Article
- Predictors of mortality within the first year post-hepatectomy for hepatocellular carcinoma.Journal of the Egyptian National Cancer Institute · 2022Article
- Transarterial Chemoembolization Combined With Radiofrequency Ablation Versus Hepatectomy for Hepatocellular Carcinoma: A Meta-Analysis.Frontiers in surgery · 2022Review
- Perioperative steroid administration reduces overall complications in patients undergoing liver resection: A meta-analysis.World journal of gastrointestinal surgery · 2021Article
- Predictors of 90-Day Mortality following Hepatic Resection for Hepatocellular Carcinoma.Visceral medicine · 2021Article
- The Significance of Platelet-Albumin-Bilirubin (PALBI) Grade in Hepatocellular Carcinoma Patients Stratified According to Platelet Count.Cancer management and research · 2020Article
- Associated liver partition and portal vein ligation for staged hepatectomy: a review.Translational gastroenterology and hepatology · 2020Review
- Hepatectomy: more complex operations and improved perioperative outcomes.Hepatobiliary surgery and nutrition · 2019Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeMultiple models have attempted to predict morbidity of liver resection (LR). This study aims to determine the efficacy of American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) surgical risk calculator and the Physiological and Operative Severity Score in the enUmeration of Mortality and Morbidity (POSSUM) in predicting post-operative morbidity in patients who underwent LR.
methodsA retrospective analysis was conducted on patients who underwent elective LR. Morbidity risk was calculated with the ACS-NSQIP surgical risk calculator and POSSUM equation. Two models were then constructed for both ACS-NSQIP and POSSUM-(1) the original risk probabilities from each scoring system and (2) a model derived from logistic regression of variables. Discrimination, calibration, and overall performance for ACS-NSQIP and POSSUM were compared. Sub-group analysis was performed for both primary and secondary liver malignancies.
resultsTwo hundred forty-five patients underwent LR. Two hundred twenty-three (91%) had malignant liver pathologies. The post-operative morbidity, 90-day mortality, and 30-day mortality rate were 38.3%, 3.7%, and 2.4% respectively. ACS-NSQIP showed superior discriminative ability, calibration, and performance to POSSUM (p = 0.03). Hosmer-Lemeshow plot demonstrated better fit of the ACS-NSQIP model than POSSUM in predicting morbidity.
conclusionIn patients undergoing LR, the ACS-NSQIP surgical risk calculator was superior to POSSUM in predicting morbidity risk.
Indexed as
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.